| --- |
| license: mit |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: roberta-base-finetuned-wikitext2 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # roberta-base-finetuned-wikitext2 |
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| This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.5020 |
|
|
| ## Model description |
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| More information needed |
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| ## Intended uses & limitations |
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| More information needed |
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| ## Training and evaluation data |
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| More information needed |
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| ## Training procedure |
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| ### Training hyperparameters |
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| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 1 |
| - eval_batch_size: 1 |
| - seed: 42 |
| - distributed_type: IPU |
| - gradient_accumulation_steps: 16 |
| - total_train_batch_size: 64 |
| - total_eval_batch_size: 20 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 3.0 |
| - training precision: Mixed Precision |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 1.6689 | 1.0 | 300 | 1.5518 | |
| | 1.7525 | 2.0 | 600 | 1.5078 | |
| | 1.5267 | 3.0 | 900 | 1.4971 | |
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| |
| ### Framework versions |
| |
| - Transformers 4.20.0 |
| - Pytorch 1.10.0+cpu |
| - Datasets 2.4.0 |
| - Tokenizers 0.12.1 |
| |
